Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 338592 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 51.7 MiB |
| Average record size in memory | 160.0 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 10 |
HenkanFlag1 is highly correlated with HenkanFlag2 and 6 other fields | High correlation |
HenkanFlag2 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag3 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag4 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag5 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag7 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag8 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag9 is highly correlated with HenkanFlag1 and 6 other fields | High correlation |
HenkanFlag3 is highly correlated with HenkanFlag2 and 6 other fields | High correlation |
HenkanFlag2 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag4 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag9 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag8 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag5 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag1 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
HenkanFlag7 is highly correlated with HenkanFlag3 and 6 other fields | High correlation |
Fukasyokin is highly skewed (γ1 = 72.86686313) | Skewed |
KettoNum2 is highly skewed (γ1 = 29.80015892) | Skewed |
Honsyokin has 224209 (66.2%) zeros | Zeros |
Fukasyokin has 319456 (94.3%) zeros | Zeros |
KettoNum2 has 338212 (99.9%) zeros | Zeros |
TimeDiff has 13592 (4.0%) zeros | Zeros |
DMGosaP has 90598 (26.8%) zeros | Zeros |
DMGosaM has 89136 (26.3%) zeros | Zeros |
Reproduction
| Analysis started | 2021-04-07 12:50:28.994133 |
|---|---|
| Analysis finished | 2021-04-07 12:52:00.415928 |
| Duration | 1 minute and 31.42 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
| Distinct | 326 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14268.05991 |
|---|---|
| Minimum | 0 |
| Maximum | 3000000 |
| Zeros | 224209 |
| Zeros (%) | 66.2% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 11000 |
| 95-th percentile | 72000 |
| Maximum | 3000000 |
| Range | 3000000 |
| Interquartile range (IQR) | 11000 |
Descriptive statistics
| Standard deviation | 50759.18818 |
|---|---|
| Coefficient of variation (CV) | 3.557539603 |
| Kurtosis | 617.1685444 |
| Mean | 14268.05991 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.45624686 |
| Sum | 4831050940 |
| Variance | 2576495185 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 224209 | |
| 7500 | 7767 | 2.3% |
| 11000 | 7244 | 2.1% |
| 20000 | 6736 | 2.0% |
| 13000 | 6468 | 1.9% |
| 5000 | 5660 | 1.7% |
| 50000 | 5572 | 1.6% |
| 18000 | 4092 | 1.2% |
| 19000 | 3766 | 1.1% |
| 30000 | 3531 | 1.0% |
| Other values (316) | 63547 | 18.8% |
| Value | Count | Frequency (%) |
| 0 | 224209 | |
| 2000 | 1 | < 0.1% |
| 2300 | 1 | < 0.1% |
| 2400 | 3 | < 0.1% |
| 2500 | 25 | < 0.1% |
| Value | Count | Frequency (%) |
| 3000000 | 9 | |
| 2500000 | 5 | < 0.1% |
| 2000000 | 8 | |
| 1800000 | 1 | < 0.1% |
| 1500000 | 18 |
| Distinct | 516 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 171.484087 |
|---|---|
| Minimum | 0 |
| Maximum | 411110 |
| Zeros | 319456 |
| Zeros (%) | 94.3% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 430 |
| Maximum | 411110 |
| Range | 411110 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3466.838772 |
|---|---|
| Coefficient of variation (CV) | 20.21667918 |
| Kurtosis | 6181.855096 |
| Mean | 171.484087 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 72.86686313 |
| Sum | 58063140 |
| Variance | 12018971.07 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 319456 | |
| 500 | 300 | 0.1% |
| 1000 | 277 | 0.1% |
| 3500 | 266 | 0.1% |
| 520 | 255 | 0.1% |
| 3570 | 252 | 0.1% |
| 3430 | 248 | 0.1% |
| 980 | 247 | 0.1% |
| 1020 | 245 | 0.1% |
| 490 | 243 | 0.1% |
| Other values (506) | 16803 | 5.0% |
| Value | Count | Frequency (%) |
| 0 | 319456 | |
| 130 | 2 | < 0.1% |
| 160 | 5 | < 0.1% |
| 170 | 6 | < 0.1% |
| 180 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 411110 | 1 | |
| 378070 | 1 | |
| 373100 | 1 | |
| 341040 | 1 | |
| 326690 | 1 |
HaronTimeL3_x
Real number (ℝ≥0)
| Distinct | 287 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 369.2291253 |
|---|---|
| Minimum | 128 |
| Maximum | 999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 128 |
|---|---|
| 5-th percentile | 336 |
| Q1 | 353 |
| median | 369 |
| Q3 | 385 |
| 95-th percentile | 411 |
| Maximum | 999 |
| Range | 871 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 75.93568416 |
|---|---|
| Coefficient of variation (CV) | 0.2056600603 |
| Kurtosis | 41.88949404 |
| Mean | 369.2291253 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 4.136115284 |
| Sum | 125018028 |
| Variance | 5766.228129 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 355 | 5550 | 1.6% |
| 373 | 5550 | 1.6% |
| 359 | 5528 | 1.6% |
| 353 | 5522 | 1.6% |
| 370 | 5515 | 1.6% |
| 361 | 5507 | 1.6% |
| 356 | 5502 | 1.6% |
| 362 | 5500 | 1.6% |
| 354 | 5493 | 1.6% |
| 358 | 5472 | 1.6% |
| Other values (277) | 283453 |
| Value | Count | Frequency (%) |
| 128 | 3 | < 0.1% |
| 129 | 26 | < 0.1% |
| 130 | 106 | < 0.1% |
| 131 | 288 | |
| 132 | 605 |
| Value | Count | Frequency (%) |
| 999 | 2999 | |
| 998 | 1 | < 0.1% |
| 896 | 1 | < 0.1% |
| 845 | 1 | < 0.1% |
| 829 | 1 | < 0.1% |
KettoNum1
Real number (ℝ≥0)
| Distinct | 19716 |
|---|---|
| Distinct (%) | 5.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2011865713 |
|---|---|
| Minimum | 2001100686 |
| Maximum | 2018110145 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 2001100686 |
|---|---|
| 5-th percentile | 2006105022 |
| Q1 | 2009103182 |
| median | 2012103370 |
| Q3 | 2015101164 |
| 95-th percentile | 2017105089 |
| Maximum | 2018110145 |
| Range | 17009459 |
| Interquartile range (IQR) | 5997982 |
Descriptive statistics
| Standard deviation | 3478532.098 |
|---|---|
| Coefficient of variation (CV) | 0.001729008092 |
| Kurtosis | -0.9857842664 |
| Mean | 2011865713 |
| Median Absolute Deviation (MAD) | 2998903.5 |
| Skewness | -0.1079470544 |
| Sum | 6.812016356 × 1014 |
| Variance | 1.210018556 × 1013 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2008103552 | 147 | < 0.1% |
| 2015104961 | 132 | < 0.1% |
| 2013100612 | 130 | < 0.1% |
| 2011101125 | 129 | < 0.1% |
| 2011104416 | 119 | < 0.1% |
| 2009106253 | 115 | < 0.1% |
| 2013103618 | 114 | < 0.1% |
| 2012102013 | 112 | < 0.1% |
| 2009102739 | 109 | < 0.1% |
| 2014103547 | 104 | < 0.1% |
| Other values (19706) | 337381 |
| Value | Count | Frequency (%) |
| 2001100686 | 1 | < 0.1% |
| 2001102414 | 8 | |
| 2001103061 | 1 | < 0.1% |
| 2001103413 | 1 | < 0.1% |
| 2001106201 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 2018110145 | 14 | |
| 2018110138 | 15 | |
| 2018110132 | 1 | < 0.1% |
| 2018110131 | 12 | |
| 2018110129 | 15 |
| Distinct | 82 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2258764.339 |
|---|---|
| Minimum | 0 |
| Maximum | 2018105310 |
| Zeros | 338212 |
| Zeros (%) | 99.9% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 2018105310 |
| Range | 2018105310 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 67386825.26 |
|---|---|
| Coefficient of variation (CV) | 29.83349085 |
| Kurtosis | 886.0576757 |
| Mean | 2258764.339 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 29.80015892 |
| Sum | 7.647995352 × 1011 |
| Variance | 4.540984218 × 1015 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 338212 | |
| 2015100494 | 15 | < 0.1% |
| 2007102958 | 15 | < 0.1% |
| 2007105741 | 14 | < 0.1% |
| 2016105009 | 14 | < 0.1% |
| 2017106717 | 13 | < 0.1% |
| 2016104603 | 13 | < 0.1% |
| 2015105868 | 13 | < 0.1% |
| 2007102760 | 13 | < 0.1% |
| 2008104822 | 12 | < 0.1% |
| Other values (72) | 258 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 338212 | |
| 2006100405 | 12 | < 0.1% |
| 2006101135 | 1 | < 0.1% |
| 2006106787 | 10 | < 0.1% |
| 2006110101 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2018105310 | 1 | < 0.1% |
| 2018104716 | 7 | |
| 2017110083 | 1 | < 0.1% |
| 2017106717 | 13 | |
| 2017106255 | 1 | < 0.1% |
| Distinct | 292 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 102.6799186 |
|---|---|
| Minimum | -56 |
| Maximum | 9999 |
| Zeros | 13592 |
| Zeros (%) | 4.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | -56 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 5 |
| median | 11 |
| Q3 | 20 |
| 95-th percentile | 43 |
| Maximum | 9999 |
| Range | 10055 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 935.3433745 |
|---|---|
| Coefficient of variation (CV) | 9.109311608 |
| Kurtosis | 107.9251256 |
| Mean | 102.6799186 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 10.48298533 |
| Sum | 34766599 |
| Variance | 874867.2282 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 14747 | 4.4% |
| 7 | 14626 | 4.3% |
| 8 | 14385 | 4.2% |
| 5 | 14311 | 4.2% |
| 4 | 14094 | 4.2% |
| 9 | 13755 | 4.1% |
| 0 | 13592 | 4.0% |
| 10 | 13400 | 4.0% |
| 3 | 13110 | 3.9% |
| 2 | 12630 | 3.7% |
| Other values (282) | 199942 |
| Value | Count | Frequency (%) |
| -56 | 1 | |
| -32 | 1 | |
| -28 | 1 | |
| -27 | 1 | |
| -26 | 2 |
| Value | Count | Frequency (%) |
| 9999 | 2997 | |
| 836 | 1 | < 0.1% |
| 759 | 1 | < 0.1% |
| 710 | 1 | < 0.1% |
| 703 | 1 | < 0.1% |
DMTime
Real number (ℝ≥0)
| Distinct | 14860 |
|---|---|
| Distinct (%) | 4.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15169.35331 |
|---|---|
| Minimum | 5481 |
| Maximum | 51393 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 5481 |
|---|---|
| 5-th percentile | 10922 |
| Q1 | 12197 |
| median | 13818 |
| Q3 | 15690 |
| 95-th percentile | 23404 |
| Maximum | 51393 |
| Range | 45912 |
| Interquartile range (IQR) | 3493 |
Descriptive statistics
| Standard deviation | 4906.767573 |
|---|---|
| Coefficient of variation (CV) | 0.3234658376 |
| Kurtosis | 5.366214458 |
| Mean | 15169.35331 |
| Median Absolute Deviation (MAD) | 1795 |
| Skewness | 2.000914404 |
| Sum | 5136221675 |
| Variance | 24076368.02 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 11331 | 167 | < 0.1% |
| 11320 | 165 | < 0.1% |
| 11303 | 163 | < 0.1% |
| 11321 | 162 | < 0.1% |
| 11307 | 161 | < 0.1% |
| 11329 | 159 | < 0.1% |
| 11330 | 159 | < 0.1% |
| 11315 | 158 | < 0.1% |
| 11346 | 156 | < 0.1% |
| 11350 | 155 | < 0.1% |
| Other values (14850) | 336987 |
| Value | Count | Frequency (%) |
| 5481 | 1 | |
| 5484 | 1 | |
| 5489 | 2 | |
| 5490 | 1 | |
| 5491 | 1 |
| Value | Count | Frequency (%) |
| 51393 | 1 | |
| 51169 | 1 | |
| 51136 | 1 | |
| 51130 | 1 | |
| 51007 | 1 |
| Distinct | 101 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.75461913 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros | 90598 |
| Zeros (%) | 26.8% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 35 |
| Q3 | 79 |
| 95-th percentile | 99 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 79 |
Descriptive statistics
| Standard deviation | 37.78880421 |
|---|---|
| Coefficient of variation (CV) | 0.9050209293 |
| Kurtosis | -1.400703496 |
| Mean | 41.75461913 |
| Median Absolute Deviation (MAD) | 35 |
| Skewness | 0.3467443339 |
| Sum | 14137780 |
| Variance | 1427.993723 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 90598 | |
| 99 | 15974 | 4.7% |
| 100 | 15686 | 4.6% |
| 98 | 14203 | 4.2% |
| 97 | 9844 | 2.9% |
| 96 | 6512 | 1.9% |
| 95 | 3977 | 1.2% |
| 42 | 2792 | 0.8% |
| 34 | 2684 | 0.8% |
| 20 | 2650 | 0.8% |
| Other values (91) | 173672 |
| Value | Count | Frequency (%) |
| 0 | 90598 | |
| 1 | 1999 | 0.6% |
| 2 | 1739 | 0.5% |
| 3 | 1666 | 0.5% |
| 4 | 1747 | 0.5% |
| Value | Count | Frequency (%) |
| 100 | 15686 | |
| 99 | 15974 | |
| 98 | 14203 | |
| 97 | 9844 | |
| 96 | 6512 |
| Distinct | 101 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.09591485 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros | 89136 |
| Zeros (%) | 26.3% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 17 |
| Q3 | 37 |
| 95-th percentile | 99 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 37 |
Descriptive statistics
| Standard deviation | 32.4381025 |
|---|---|
| Coefficient of variation (CV) | 1.154548719 |
| Kurtosis | 0.2309561045 |
| Mean | 28.09591485 |
| Median Absolute Deviation (MAD) | 17 |
| Skewness | 1.243057452 |
| Sum | 9513052 |
| Variance | 1052.230494 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 89136 | |
| 99 | 10802 | 3.2% |
| 100 | 9849 | 2.9% |
| 98 | 8969 | 2.6% |
| 17 | 7303 | 2.2% |
| 14 | 7227 | 2.1% |
| 13 | 7157 | 2.1% |
| 15 | 7028 | 2.1% |
| 16 | 7003 | 2.1% |
| 18 | 6531 | 1.9% |
| Other values (91) | 177587 |
| Value | Count | Frequency (%) |
| 0 | 89136 | |
| 1 | 1404 | 0.4% |
| 2 | 1976 | 0.6% |
| 3 | 2656 | 0.8% |
| 4 | 2706 | 0.8% |
| Value | Count | Frequency (%) |
| 100 | 9849 | |
| 99 | 10802 | |
| 98 | 8969 | |
| 97 | 6051 | |
| 96 | 3778 | 1.1% |
DMJyuni
Real number (ℝ≥0)
| Distinct | 19 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.01229208 |
|---|---|
| Minimum | 0 |
| Maximum | 18 |
| Zeros | 1194 |
| Zeros (%) | 0.4% |
| Memory size | 2.6 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 8 |
| Q3 | 12 |
| 95-th percentile | 16 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 4.505898074 |
|---|---|
| Coefficient of variation (CV) | 0.5623731672 |
| Kurtosis | -1.027938731 |
| Mean | 8.01229208 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.155387219 |
| Sum | 2712898 |
| Variance | 20.30311745 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 8 | 23359 | 6.9% |
| 7 | 23328 | 6.9% |
| 6 | 23248 | 6.9% |
| 5 | 23180 | 6.8% |
| 4 | 22946 | 6.8% |
| 9 | 22842 | 6.7% |
| 3 | 22674 | 6.7% |
| 2 | 22626 | 6.7% |
| 1 | 22439 | 6.6% |
| 10 | 22369 | 6.6% |
| Other values (9) | 109581 |
| Value | Count | Frequency (%) |
| 0 | 1194 | 0.4% |
| 1 | 22439 | |
| 2 | 22626 | |
| 3 | 22674 | |
| 4 | 22946 |
| Value | Count | Frequency (%) |
| 18 | 2193 | 0.6% |
| 17 | 2745 | 0.8% |
| 16 | 12050 | |
| 15 | 14608 | |
| 14 | 16880 |
KyakusituKubun
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 | |
| 0 | 2997 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 3 |
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 3 | 119181 | |
| 4 | 108578 | |
| 2 | 82502 | |
| 1 | 25334 | 7.5% |
| 0 | 2997 | 0.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 11842 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326750 | |
| 1 | 11842 | 3.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 12469 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 326123 | |
| 1 | 12469 | 3.7% |
HenkanUma1
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.6 MiB |
| 0 | |
|---|---|
| 1 | 1026 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 338592 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 338592 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 338592 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 338592 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 337566 | |
| 1 | 1026 | 0.3% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Honsyokin | Fukasyokin | HaronTimeL3_x | KettoNum1 | KettoNum2 | TimeDiff | DMTime | DMGosaP | DMGosaM | DMJyuni | KyakusituKubun | HenkanFlag1 | HenkanFlag2 | HenkanFlag3 | HenkanFlag4 | HenkanFlag5 | HenkanFlag7 | HenkanFlag8 | HenkanFlag9 | HenkanUma1 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 358 | 2007101647 | 0 | 4 | 11011 | 35 | 11 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 362 | 2006102618 | 0 | 12 | 11031 | 24 | 5 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 14800 | 0 | 362 | 2006103886 | 0 | 9 | 11083 | 25 | 6 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 0 | 0 | 365 | 2006106132 | 0 | 7 | 10875 | 0 | 0 | 10 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 37000 | 510 | 351 | 2007101647 | 0 | 3 | 11020 | 19 | 3 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | 26000 | 710 | 351 | 2006105174 | 0 | 2 | 11061 | 34 | 22 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | 0 | 0 | 352 | 2007110035 | 0 | 5 | 11039 | 0 | 19 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | 71000 | 0 | 339 | 2005104876 | 0 | -8 | 11042 | 0 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 21000 | 0 | 347 | 2005100236 | 0 | 2 | 11041 | 0 | 0 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 28000 | 0 | 353 | 2006102717 | 0 | 0 | 10963 | 0 | 0 | 3 | 4 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 |
Last rows
| Honsyokin | Fukasyokin | HaronTimeL3_x | KettoNum1 | KettoNum2 | TimeDiff | DMTime | DMGosaP | DMGosaM | DMJyuni | KyakusituKubun | HenkanFlag1 | HenkanFlag2 | HenkanFlag3 | HenkanFlag4 | HenkanFlag5 | HenkanFlag7 | HenkanFlag8 | HenkanFlag9 | HenkanUma1 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 338582 | 35000 | 570 | 346 | 2018109134 | 0 | 6 | 10977 | 97 | 26 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338583 | 0 | 0 | 383 | 2018109134 | 0 | 40 | 10984 | 97 | 26 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338584 | 0 | 0 | 361 | 2017106087 | 0 | 16 | 11013 | 0 | 0 | 16 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338585 | 0 | 0 | 368 | 2017103927 | 0 | 14 | 20288 | 100 | 100 | 17 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338586 | 11000 | 0 | 360 | 2017104930 | 0 | 5 | 5958 | 36 | 31 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338587 | 0 | 0 | 357 | 2016104423 | 0 | 18 | 11036 | 100 | 49 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338588 | 0 | 0 | 362 | 2015104793 | 0 | 14 | 14735 | 0 | 0 | 10 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338589 | 0 | 0 | 380 | 2018105909 | 0 | 59 | 11066 | 61 | 31 | 15 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338590 | 0 | 0 | 362 | 2017104598 | 0 | 6 | 20280 | 100 | 35 | 13 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 338591 | 0 | 0 | 381 | 2018104883 | 0 | 38 | 15102 | 99 | 99 | 14 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |